Provision Information (Taiwan) Market Value
| 6590 Stock | TWD 90.00 0.60 0.67% |
| Symbol | Provision |
Provision Information 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Provision Information's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Provision Information.
| 04/03/2024 |
| 05/03/2024 |
If you would invest 0.00 in Provision Information on April 3, 2024 and sell it all today you would earn a total of 0.00 from holding Provision Information CoLtd or generate 0.0% return on investment in Provision Information over 30 days. Provision Information is related to or competes with AVerMedia Technologies, General Plastic, X Legend, Cayenne Entertainment, MediaTek, Wah Hong, and HIM International. ,LTD provides payment, financial application, information security, and outsourcing services More
Provision Information Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Provision Information's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Provision Information CoLtd upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.24 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 15.82 | |||
| Value At Risk | (1.94) | |||
| Potential Upside | 2.44 |
Provision Information Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Provision Information's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Provision Information's standard deviation. In reality, there are many statistical measures that can use Provision Information historical prices to predict the future Provision Information's volatility.| Risk Adjusted Performance | 0.0111 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0128 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Provision Information's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Provision Information Backtested Returns
Provision Information maintains Sharpe Ratio (i.e., Efficiency) of -0.0752, which implies the firm had a -0.0752% return per unit of risk over the last 3 months. Provision Information exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Provision Information's Coefficient Of Variation of 14218.56, semi deviation of 1.88, and Risk Adjusted Performance of 0.0111 to confirm the risk estimate we provide. The company holds a Beta of 0.24, which implies not very significant fluctuations relative to the market. As returns on the market increase, Provision Information's returns are expected to increase less than the market. However, during the bear market, the loss of holding Provision Information is expected to be smaller as well. Provision Information has an expected return of -0.13%. Please make sure to check Provision Information standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if Provision Information performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.28 |
Weak reverse predictability
Provision Information CoLtd has weak reverse predictability. Overlapping area represents the amount of predictability between Provision Information time series from 3rd of April 2024 to 18th of April 2024 and 18th of April 2024 to 3rd of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Provision Information price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Provision Information price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Provision Information lagged returns against current returns
Autocorrelation, which is Provision Information stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Provision Information's stock expected returns. We can calculate the autocorrelation of Provision Information returns to help us make a trade decision. For example, suppose you find that Provision Information has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Provision Information regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Provision Information stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Provision Information stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Provision Information stock over time.
Current vs Lagged Prices |
| Timeline |
Provision Information Lagged Returns
When evaluating Provision Information's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Provision Information stock have on its future price. Provision Information autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Provision Information autocorrelation shows the relationship between Provision Information stock current value and its past values and can show if there is a momentum factor associated with investing in Provision Information CoLtd.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Provision Information in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Provision Information's short interest history, or implied volatility extrapolated from Provision Information options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out Provision Information Correlation, Provision Information Volatility and Provision Information Alpha and Beta module to complement your research on Provision Information. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Complementary Tools for Provision Stock analysis
When running Provision Information's price analysis, check to measure Provision Information's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Provision Information is operating at the current time. Most of Provision Information's value examination focuses on studying past and present price action to predict the probability of Provision Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Provision Information's price. Additionally, you may evaluate how the addition of Provision Information to your portfolios can decrease your overall portfolio volatility.
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Provision Information technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.